这是一段python代码，实在找不出错误的地方

Question

这段代码是在jupyter notebook上运行的，在网上查了好多种方法都不太行，这个文件是ipynb,请告诉我是怎么回事

以下是完整代码

'''
图像采集程序-人脸检测
由于外部程序需要调用它，所以不能使用相对路径

用法：
python collectingfaces.py --id 106 --imagedir /home/reed/git-project/old_care_system/任务源代码/任务5.老人员工义工人脸图像采集/images

'''
import argparse
from oldcare.facial import FaceUtil
from oldcare.audio import audioplayer
from PIL import Image, ImageDraw, ImageFont
import cv2
import numpy as np
import os
import shutil
import time

# 全局参数
audio_dir = '/home/reed/git-project/old_care_system/任务源代码/任务5.老人员工义工人脸图像采集/audios'

# 控制参数
error = 0
start_time = None
limit_time = 2 # 2 秒

# 传入参数
ap = argparse.ArgumentParser()
ap.add_argument("-ic", "--id", required=True,
    help="")
ap.add_argument("-id", "--imagedir", required=True,
    help="")
args = vars(ap.parse_args(args=[]))

action_list = ['blink', 'open_mouth','smile','rise_head','bow_head',
               'look_left','look_right']
action_map = {'blink':'请眨眼', 'open_mouth':'请张嘴', 
              'smile':'请笑一笑', 'rise_head':'请抬头', 
              'bow_head':'请低头', 'look_left':'请看左边', 
              'look_right':'请看右边'}
# 设置摄像头
cam = cv2.VideoCapture(0)
cam.set(3, 640) # set video widht
cam.set(4, 480) # set video height

faceutil = FaceUtil()

counter = 0
while True:
    counter += 1
    _, image =cam.read()
    if counter <=10: # 放弃前10帧
        continue
    image = cv2.flip(image, 1)
    
    if error == 1:
        end_time = time.time()
        difference = end_time - start_time
        print(difference)
        if difference >= limit_time:
            error = 0
            
    face_location_list = faceutil.get_face_location(image)
    for (left, top, right, bottom) in face_location_list:
        cv2.rectangle(image, (left, top), (right, bottom), 
                      (0, 0, 255), 2)
        
    cv2.imshow('Collecting Faces', image) # show the image
    # Press 'ESC' for exiting video
    k = cv2.waitKey(100) & 0xff 
    if k == 27:
        break
    
    face_count = len(face_location_list)
    if error == 0 and face_count == 0: # 没有检测到人脸
        print('[WARNING] 没有检测到人脸')
        audioplayer.play_audio(os.path.join(audio_dir,
                                            'no_face_detected.mp3'))
        error = 1
        start_time = time.time()
    elif error == 0 and face_count == 1: # 可以开始采集图像了
        print('[INFO] 可以开始采集图像了')
        audioplayer.play_audio(os.path.join(audio_dir,
                               'start_image_capturing.mp3'))
        break
    elif error == 0 and face_count > 1: # 检测到多张人脸
        print('[WARNING] 检测到多张人脸')
        audioplayer.play_audio(os.path.join(audio_dir,
                               'multi_faces_detected.mp3'))
        error = 1
        start_time = time.time()
    else:
        pass

# 新建目录
if os.path.exists(os.path.join(args['imagedir'],args['id'])):
    shutil.rmtree(os.path.join(args['imagedir'],args['id']),True)
os.mkdir(os.path.join(args['imagedir'],args['id']))

# 开始采集人脸
for action in action_list:
    audioplayer.play_audio(os.path.join(audio_dir,action+'.mp3'))
    action_name = action_map[action]
    
    counter = 1
    for i in range(15):
        print('%s-%d' %(action_name, i))
        _, img_OpenCV =cam.read()
        img_OpenCV = cv2.flip(img_OpenCV, 1)
        origin_img = img_OpenCV.copy() # 保存时使用
        
        face_location_list = faceutil.get_face_location(img_OpenCV)
        for (left, top, right, bottom) in face_location_list:
            cv2.rectangle(img_OpenCV, (left, top), 
                          (right, bottom), (0, 0, 255), 2)
        
        img_PIL = Image.fromarray(cv2.cvtColor(img_OpenCV, 
                                               cv2.COLOR_BGR2RGB)) 

        draw = ImageDraw.Draw(img_PIL)
        draw.text((int(image.shape[1]/2), 30), action_name, 
                 font=ImageFont.truetype('NotoSansCJK-Black.ttc', 40), 
                  fill=(255,0,0)) # linux
        
        # 转换回OpenCV格式 
        img_OpenCV = cv2.cvtColor(np.asarray(img_PIL),
                                  cv2.COLOR_RGB2BGR)
        
        cv2.imshow('Collecting Faces', img_OpenCV) # show the image
        
        image_name = os.path.join(args['imagedir'],args['id'],
                                  action+'_'+str(counter)+'.jpg')
        cv2.imwrite(image_name, origin_img)
        # Press 'ESC' for exiting video
        k = cv2.waitKey(100) & 0xff 
        if k == 27:
            break
        counter += 1

# 结束
print('[INFO] 采集完毕')
audioplayer.play_audio(os.path.join(audio_dir,'end_capturing.mp3'))

# 释放全部资源    
cam.release()
cv2.destroyAllWindows()

Answer 1

额，jupyter 是在网页上操作的，就不要用命令行的 argparse 包了，你把 28 行 ~ 33 行的 argparse 方法改成你要输入的参数就好：

# 示例：python collectingfaces.py --id 106 --imagedir /home/reed/git-project/old_care_system/任务源代码/任务5.老人员工义工人脸图像采集/images
args = {}
args['imagedir'] = '/home/reed/git-project/old_care_system/任务源代码/任务5.老人员工义工人脸图像采集/images'
args['id'] = 106